Design of Energy Information Collection and Analysis Terminal with Digital Edge Computing Capabilities

Within the domain of the smart grid, the conventional procedure involves the utilization of a concentrator to procure power-related data from users, subsequently subjecting this data to analysis for evaluating their electricity consumption behavior. However, this established approach is marred by issues such as the central station being burdened with extensive computational tasks and a notable lack of precision in identifying instances of irregular power consumption. This study seeks to address these shortcomings by introducing an innovative energy information collection and analysis terminal for the power system. In tandem with this, a model for effectively detecting incidents of unauthorized electricity usage is proposed. Notably, the core novelty of this research resides in the strategic integration of the Tiny4412 core board, a cutting-edge platform for edge computing. Leveraging the computational prowess of the Tiny4412 core board, the terminal is adept at promptly discerning and categorizing instances of electricity theft, without overburdening the central station with computational demands. To validate the practical viability of the proposed system, a series of empirical tests are conducted. The results unequivocally underscore the terminal’s proficiency in effectively detecting and flagging potential cases of electricity theft, leveraging meticulous analysis of data acquired from the intelligent energy meter.